Cloud Data Solutions Architect

2 weeks ago


Noida, Uttar Pradesh, India Coforge Full time

We are seeking a skilled Cloud Data Engineer to join our team at Coforge. As a key member of our data engineering team, you will be responsible for designing and implementing scalable and secure cloud-based data warehouses using AWS services.

Responsibilities
  • Partner with business stakeholders to gather requirements and translate them into technical specifications and process documentation for IT teams.
  • Expertise in the architecture and development of an event-driven data warehouse, including streaming and batch processing, data modeling, and storage.
  • Advanced knowledge of databases, including creating and optimizing SQL queries, stored procedures, functions, partitioning data, indexing, and analyzing execution plans.
  • Skilled in writing and troubleshooting Python/PySpark scripts to generate data extracts, cleanse, conform, and deliver data for consumption.
  • Design and implement ETL architecture, including data profiling, process flow, metric logging, and error handling.
  • Support continuous improvement by investigating and presenting alternative processes and technologies to an architectural review board.
Requirements
  • Familiarity with Snowflake features such as stages, external tables, commands (e.g., COPY, UNLOAD), and working knowledge of variant data types.
  • Ability to flatten nested structures using SQL, familiarity with marketplace integrations, role-based masking, pipes, data cloning, logs, and user/role management.
  • Experience with Coalesce or DBT (Data Build Tool) is advantageous.
  • Collibra Integration: Experience with Collibra for Data Quality and Governance in ETL pipeline development is a plus.
  • AWS: Hands-on experience with AWS services such as S3, Glue (jobs, triggers, workflows, catalog, connectors, crawlers), CloudWatch, RDS, and Secrets Manager.
  • Version Control & CI/CD: Hands-on experience with version control tools like GitHub and knowledge of setting up CI/CD pipelines using YAML and pip files.
  • Streaming Services: Familiarity with streaming services such as Confluent Kafka, Spark Streaming, or Kinesis (or equivalent) is a plus.

We offer a competitive salary of $120,000 - $200,000 per annum based on your qualifications and experience.



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